{"id":"W2794988337","doi":"10.22489/cinc.2017.105-291","title":"Atrial Electro-anatomic Mapping with a Novel Noncontact Approach","year":2017,"lang":"en","type":"article","venue":"Computing in cardiology","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"","keywords":"Computer science; Biomedical engineering; Cardiology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003061532,0.0005252508,0.0005305811,0.0006666203,0.0002265819,0.0007098601,0.0008792756,0.001025602,0.002385171],"category_scores_gemma":[0.00100193,0.0004119759,0.0005534627,0.0003682062,0.0003715574,0.001318006,0.001379252,0.0006686182,0.00085416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001408218,"about_ca_system_score_gemma":0.0002507546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002433047,"about_ca_topic_score_gemma":0.0004947942,"domain_scores_codex":[0.9993296,0.00009730514,0.0000363533,0.0001623464,0.0003392512,0.00003518533],"domain_scores_gemma":[0.9994631,0.0001967366,0.00005795867,0.0001724865,0.00007499086,0.00003480823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001631581,0.0001123188,0.001310174,0.0002375483,0.00006949426,0.001114131,0.0003053004,0.004928222,0.7057519,0.004093838,0.001295294,0.2806186],"study_design_scores_gemma":[0.0001655434,0.001423393,0.0128063,0.00007676423,0.0001988693,0.04891375,0.0002170861,0.4752462,0.4141828,0.01040492,0.03609672,0.0002676443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02177875,0.000538901,0.975201,0.0001485736,0.0000554414,0.00005730942,0.00006506382,0.0004770903,0.001677859],"genre_scores_gemma":[0.1858198,0.0006165689,0.8097111,0.0001744357,0.0001248811,0.0001363294,0.0001551115,0.0001110919,0.003150712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002385171,"threshold_uncertainty_score":0.007979214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256154337355197,"score_gpt":0.2792667409202085,"score_spread":0.2567051975466565,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}